Summary

Target folder: /Users/brittneyscannell/Desktop/actel

Timestamp: 2025-01-06 13:37:51.357207

Number of target tags: 53

Number of listed receivers: 27 (of which 13 had no detections)

Data time range: 2022-11-28 14:20:06 to 2024-10-02 14:33:45 (Asia/Riyadh).

Percentage of post-release valid detections: 100%

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Study area

Arrays with the same background belong to the same section. Release sites are marked with “R.S.”. Arrays connected with an arrow indicate that the animals can only pass in one direction.

Receiver stations

Station.name Latitude Longitude Section Array Standard.name
AK1 25.67437 36.74693 Abu_Khalid Abu_Khalid St.1
AL2 25.53851 36.91802 Abu_Laheq Abu_Laheq St.2
AOG 25.65634 36.71978 Al_Osh_Al_Gharbi Al_Osh_Al_Gharbi St.3
AOS1 25.66300 36.76780 Al_Osh_Al_Sharqi Al_Osh_Al_Sharqi St.4
AOS2 25.66650 36.76420 Al_Osh_Al_Sharqi Al_Osh_Al_Sharqi St.5
AOS3 25.66431 36.75544 Al_Osh_Al_Sharqi Al_Osh_Al_Sharqi St.6
AOS4 25.66670 36.75832 Al_Osh_Al_Sharqi Al_Osh_Al_Sharqi St.7
AOS5 25.65846 36.75521 Al_Osh_Al_Sharqi Al_Osh_Al_Sharqi St.8
AOS6 25.66008 36.75787 Al_Osh_Al_Sharqi Al_Osh_Al_Sharqi St.9
AOS7 25.66210 36.76510 Al_Osh_Al_Sharqi Al_Osh_Al_Sharqi St.10
AOS8 25.66065 36.76154 Al_Osh_Al_Sharqi Al_Osh_Al_Sharqi St.11
Deep 25.56643 36.82818 QUMAN QUMAN St.12
GH01 25.56620 36.83358 QUMAN QUMAN St.13
GH02 25.56579 36.83349 QUMAN QUMAN St.14
GH03 25.56560 36.83309 QUMAN QUMAN St.15
GH04 25.56529 36.83291 QUMAN QUMAN St.16
GH05 25.56506 36.83265 QUMAN QUMAN St.17
GH07 25.56436 36.83241 QUMAN QUMAN St.18
GH08 25.56404 36.83226 QUMAN QUMAN St.19
GH09 25.56369 36.83213 QUMAN QUMAN St.20
GH10 25.56336 36.83201 QUMAN QUMAN St.21
GH11 25.56307 36.83185 QUMAN QUMAN St.22
GH12 25.56283 36.83162 QUMAN QUMAN St.23
GH13 25.56256 36.83142 QUMAN QUMAN St.24
Qu1 25.57283 36.84520 QUMAN QUMAN St.25
Qu10 25.53528 36.84713 QUMAN QUMAN St.26
Qu11 25.55508 36.86840 QUMAN QUMAN St.27
Qu12 25.55792 36.86718 QUMAN QUMAN St.28
Qu13 25.56872 36.83678 QUMAN QUMAN St.29
Qu14 25.54187 36.85135 QUMAN QUMAN St.30
Qu15 25.55065 36.86613 QUMAN QUMAN St.31
Qu2 25.56471 36.83258 QUMAN QUMAN St.32
Qu3 25.56224 36.83131 QUMAN QUMAN St.33
Qu4 25.53987 36.85668 QUMAN QUMAN St.34
Qu5 25.53457 36.83698 QUMAN QUMAN St.35
Qu6 25.54875 36.82483 QUMAN QUMAN St.36
Qu7 25.54185 36.82805 QUMAN QUMAN St.37
Qu8 25.56537 36.85785 QUMAN QUMAN St.38
Qu9 25.54550 36.86677 QUMAN QUMAN St.39
TB2 25.49917 36.99869 Turtle_Bay Turtle_Bay St.40

Deployments

Receiver Array Station.name Standard.name Start Stop
488907.dpl.1 QUMAN GH09 St.20 2022-11-28 09:53:00 2023-04-26 00:00:00
488907.dpl.2 QUMAN Qu14 St.30 2023-04-26 13:18:00 2024-10-03 00:00:00
488908.dpl.1 QUMAN GH12 St.23 2022-11-28 10:05:00 2023-04-26 00:00:00
488908.dpl.2 QUMAN Qu1 St.25 2023-04-26 12:01:00 2024-09-30 00:00:00
488909.dpl.1 QUMAN GH02 St.14 2022-11-28 08:50:00 2023-04-26 00:00:00
488909.dpl.2 QUMAN Qu8 St.38 2023-04-26 14:26:00 2024-10-02 00:00:00
488910 QUMAN Qu2 St.32 2022-11-28 11:33:00 2024-10-03 00:00:00
488911.dpl.1 QUMAN GH03 St.15 2022-11-28 09:00:00 2023-04-26 00:00:00
488911.dpl.2 QUMAN Qu11 St.27 2023-04-26 14:10:00 2024-10-03 00:00:00
488912.dpl.1 QUMAN GH01 St.13 2022-11-28 08:45:00 2023-04-26 00:00:00
488912.dpl.2 QUMAN Qu12 St.28 2023-04-26 14:17:00 2024-10-02 00:00:00
488913.dpl.1 QUMAN GH08 St.19 2022-11-28 09:35:00 2023-04-26 00:00:00
488913.dpl.2 QUMAN Qu10 St.26 2023-04-26 13:05:00 2024-09-27 00:00:00
488914.dpl.1 QUMAN GH11 St.22 2022-11-28 10:00:00 2023-04-26 00:00:00
488914.dpl.2 QUMAN Qu6 St.36 2023-04-26 12:27:00 2024-09-27 00:00:00
488915.dpl.1 QUMAN GH07 St.18 2022-11-28 09:30:00 2023-04-26 00:00:00
488915.dpl.2 QUMAN Qu4 St.34 2023-04-26 13:31:00 2024-09-30 00:00:00
488916.dpl.1 QUMAN Deep St.12 2022-11-28 10:35:00 2023-04-26 00:00:00
488916.dpl.2 QUMAN Qu7 St.37 2023-04-26 12:40:00 2024-09-27 00:00:00
488917.dpl.1 QUMAN GH10 St.21 2022-11-28 09:55:00 2023-04-26 00:00:00
488917.dpl.2 QUMAN Qu5 St.35 2023-04-26 12:54:00 2024-09-27 00:00:00
488918.dpl.1 QUMAN GH05 St.17 2022-11-28 09:17:00 2023-04-26 00:00:00
488918.dpl.2 QUMAN Qu9 St.39 2023-04-26 13:39:00 2024-10-03 00:00:00
488919.dpl.1 QUMAN GH04 St.16 2022-11-28 09:06:00 2023-04-26 00:00:00
488919.dpl.2 QUMAN Qu15 St.31 2023-04-26 13:46:00 2024-10-03 00:00:00
488920.dpl.1 QUMAN GH13 St.24 2022-11-28 10:10:00 2023-04-26 00:00:00
488920.dpl.2 QUMAN Qu13 St.29 2023-04-26 11:47:00 2024-10-31 00:00:00
488921 QUMAN Qu3 St.33 2022-11-28 11:20:00 2024-10-03 00:00:00
490788 Al_Osh_Al_Gharbi AOG St.3 2023-10-12 12:53:00 2024-10-28 04:30:00
490791 Al_Osh_Al_Sharqi AOS6 St.9 2023-10-12 11:42:00 2024-10-26 11:19:00
490792 Al_Osh_Al_Sharqi AOS2 St.5 2023-10-10 10:29:00 2024-08-07 16:37:00
490793 Al_Osh_Al_Sharqi AOS1 St.4 2023-10-10 10:09:00 2024-10-26 00:00:00
490794 Al_Osh_Al_Sharqi AOS4 St.7 2023-10-10 11:11:00 2024-10-28 06:22:00
490795 Al_Osh_Al_Sharqi AOS3 St.6 2023-10-10 10:57:00 2024-10-27 05:52:00
490796 Al_Osh_Al_Sharqi AOS5 St.8 2023-10-10 11:30:00 2024-10-28 06:08:00
490797 Turtle_Bay TB2 St.40 2023-10-14 09:19:00 2024-02-18 11:54:00
490798 Abu_Khalid AK1 St.1 2023-10-12 12:36:00 2024-10-28 05:07:00
490799 Abu_Laheq AL2 St.2 2023-10-13 14:09:00 2024-10-28 08:09:00
490800 Al_Osh_Al_Sharqi AOS7 St.10 2023-10-12 12:17:00 2024-10-26 10:17:00
490801 Al_Osh_Al_Sharqi AOS8 St.11 2023-10-12 12:02:00 2024-10-26 10:58:00

Release sites

Station.name Latitude Longitude Array Type Standard.name n.Wild
E21 25.66883 36.75964 Al_Osh_Al_Sharqi Release E21 2
E20 25.65912 36.75592 Al_Osh_Al_Sharqi Release E20 2
E24 25.66276 36.76431 Al_Osh_Al_Sharqi Release E24 2
E13 25.66635 36.75909 Al_Osh_Al_Sharqi Release E13 2
E25 25.66656 36.76115 Al_Osh_Al_Sharqi Release E25 5
E26 25.57048 36.84659 QUMAN Release E26 5
E23 25.56002 36.83280 QUMAN Release E23 8
E12 25.55856 36.83240 QUMAN Release E12 2
E27 25.57091 36.84533 QUMAN Release E27 2
E22 25.56545 36.83597 QUMAN Release E22 5
E3 25.57069 36.84571 QUMAN Release E3 1
E4 25.56433 36.83623 QUMAN Release E4 8
E5 25.55808 36.83235 QUMAN Release E5 1
E7 25.56182 36.83370 QUMAN Release E7 5
E8 25.56285 36.83473 QUMAN Release E8 2
E28 25.49941 36.99894 Turtle_Bay Release E28 1

Array efficiency

Note:
More information on the differences between “Known missed events” and “Potentially missed events” can be found in the package vignettes.
The data used in this table is stored in the efficiency object.
These efficiency values are estimated using a simple step-by-step method (described in the package vignettes). In some situations, more advanced efficiency estimation methods may be required.
You can try running advEfficiency(results$efficiency) to obtain beta-drawn efficiency distributions (replace results with the name of the object where you saved the analysis).

Events recorded and missed

Abu_Khalid Abu_Laheq Al_Osh_Al_Gharbi Al_Osh_Al_Sharqi QUMAN Turtle_Bay
Recorded events 0 0 0 0 25 0
Known missed events - 0 0 0 0 0
Potentially missed events - 0 0 0 0 0

Array efficiency

Note: These values already include any intra-array efficiency estimates that have been requested.

Abu_Khalid Abu_Laheq Al_Osh_Al_Gharbi Al_Osh_Al_Sharqi QUMAN Turtle_Bay
Maximum efficiency - NaN% NaN% NaN% 100% NaN%
Minimum efficiency - NaN% NaN% NaN% 100% NaN%

Warning messages

Warning: Long array names detected. To improve graphic rendering, consider keeping array names under six characters.
Warning: Long section names detected. To improve graphic rendering, consider keeping section names under six characters.
Warning: The following station is listed in the deployments but is not part of the study's stations: 'AL1'
Discarding deployments at unknown stations.
Warning: 25 duplicated detections were found. Could an input file be duplicated?
Warning: No detections were found for receiver(s) 488907, 490788, 490791, 490792, 490793, 490794, 490795, 490796, 490797, 490798, 490799, 490800, 490801.
Warning: 'speed.warning'/'speed.error' were not set, skipping speed checks.
Warning: 'inactive.warning'/'inactive.error' were not set, skipping inactivity checks.

User comments

No comments were included during the analysis.

Biometric graphics

Note:
The data used in this graphic is the data present in the biometrics.csv file.

Last seen

Note:
The data used in this table and graphic is stored in the last.seen object.
Disap. in Abu_Khalid Disap. in Abu_Laheq Disap. in Al_Osh_Al_Gharbi Disap. in Al_Osh_Al_Sharqi Disap. in QUMAN Disap. in Turtle_Bay Disap. at Release
Wild 0 0 0 0 25 0 28

Average time of arrival at each Array

Note:
Coloured lines on the outer circle indicate the mean value for each group and the respective ranges show the standard error of the mean. Each group’s bars sum to 100%. The number of data points in each group is presented between brackets in the legend of each pannel.
You can replicate these graphics and edit them as needed using the plotTimes() function.
The data used in these graphics is stored in the array.times object.
To obtain reports with the legacy linear circular scale, run options(actel.circular.scale = "linear") before running your analyses.
/var/folders/g0/3c99gfyx58141kbqt5_m0dk80000gn/T//Rtmp7IjzOY/actel_report_auxiliary_files/circular_svg_print_failure_bounce_back.png

Time details for each section

Arrival days at each section

Note:
The data used in these graphics is stored in the section.times$arrival object.

Arrival times at each section

Note:
Coloured lines on the outer circle indicate the mean value for each group and the respective ranges show the standard error of the mean. Each group’s bars sum to 100%. The number of data points in each group is presented between brackets in the legend of each pannel.
You can replicate these graphics and edit them as needed using the plotTimes() function.
The data used in these graphics is stored in the section.times$arrival object.
To obtain reports with the legacy linear circular scale, run options(actel.circular.scale = "linear") before running your analyses.
/var/folders/g0/3c99gfyx58141kbqt5_m0dk80000gn/T//Rtmp7IjzOY/actel_report_auxiliary_files/circular_svg_print_failure_bounce_back.png

Departure days at each section

Note:
The data used in these graphics is stored in the section.times$departure object.

Departure times at each section

Note:
Coloured lines on the outer circle indicate the mean value for each group and the respective ranges show the standard error of the mean. Each group’s bars sum to 100%. The number of data points in each group is presented between brackets in the legend of each pannel.
You can replicate these graphics and edit them as needed using the plotTimes() function.
The data used in these graphics is stored in the section.times$departure object.
To obtain reports with the legacy linear circular scale, run options(actel.circular.scale = "linear") before running your analyses.
/var/folders/g0/3c99gfyx58141kbqt5_m0dk80000gn/T//Rtmp7IjzOY/actel_report_auxiliary_files/circular_svg_print_failure_bounce_back.png

Global residency

Note:
The data used in these graphics is stored in the global.ratios and time.positions objects.
You can replicate these graphics and edit them as needed using the plotRatios() function.
This data is also available split by group in the group.ratiosobject.
You can plot these results by group using the ‘group’ argument in plotRatios().

Absolutes

0 5 10 15 2023-01 2023-07 2024-01 2024-07 n Location QUMAN Global ratios

Percentages

0.00 0.25 0.50 0.75 1.00 2023-01 2023-07 2024-01 2024-07 % tags Location QUMAN Global ratios

Individual residency plots

Note:
The data used in these graphics is stored in the time.ratios object (one table per tag). More condensed information can be found in the section.movements object.
You can replicate these graphics and edit them as needed using the plotResidency() function.

Individual detection plots

Note:
You can choose to plot detections by station or by array using the detections.y.axis argument.
The detections are coloured by section. The vertical black dashed line shows the release time. The full dark-grey line shows the movement events considered valid, while the dashed dark-grey line shows the movement events considered invalid.
Manually edited tags are highlighted with yellow graphic borders.
Manually overridden tags are highlighted with red graphic borders.
The arrays have been aligned by section, following the order provided either in the spatial input or the section.order argument.
You can replicate these graphics and edit them as needed using the plotDetections() function.
You can also see the movement events of multiple tags simultaneously using the plotMoves() function.
The data used in these graphics is stored in the detections and movements objects (and respective valid counterparts).

Full log

Actel R package report.
Version: 1.3.0

Target folder: /Users/brittneyscannell/Desktop/actel
Timestamp: 2025-01-06 13:37:51.357207
Function: residency()

M: 'report' option has been activated.
M: Importing data. This process may take a while.
M: Number of target tags: 53.
Warning: Long array names detected. To improve graphic rendering, consider keeping array names under six characters.
Warning: Long section names detected. To improve graphic rendering, consider keeping section names under six characters.
Warning: The following station is listed in the deployments but is not part of the study's stations: 'AL1'
Discarding deployments at unknown stations.
Warning: 25 duplicated detections were found. Could an input file be duplicated?
M: Removing duplicated detections from the analysis per user command.
M: Matching detections with deployment periods.
M: Number of ALS: 27 (of which 13 had no detections)
Warning: No detections were found for receiver(s) 488907, 490788, 490791, 490792, 490793, 490794, 490795, 490796, 490797, 490798, 490799, 490800, 490801.
M: Data time range: 2022-11-28 14:20:06 to 2024-10-02 14:33:45 (Asia/Riyadh).
M: Data successfully imported!
M: Creating movement records for the valid tags.
M: Checking movement events quality.
Warning: 'speed.warning'/'speed.error' were not set, skipping speed checks.
Warning: 'inactive.warning'/'inactive.error' were not set, skipping inactivity checks.
M: Compiling and checking section movements for the valid tags.
M: Filtering valid array movements.
M: Filtering valid section movements.
M: Compiling residency objects.
M: Calculating daily locations for each tag.
M: Calculating inter-array efficiency.
M: Saving results as 'actel_residency_results.RData'.
M: Producing the report.
M: Drawing individual detection graphics.
M: Drawing individual residency graphics.
M: Analysis completed!

-------------------
User interventions:
-------------------
b # dup. detections
y # save results?
-------------------
Residency function call:
-------------------
residency(tz = 'Asia/Riyadh', section.order = NULL, datapack = NULL, max.interval = 60, min.total.detections = 2, min.per.event = c(1, 1), start.time = NULL, stop.time = NULL, speed.method = c('last to first'), speed.warning = NULL, speed.error = NULL, jump.warning = 2, jump.error = 3, inactive.warning = NULL, exclude.tags = NULL, override = NULL, report = TRUE, auto.open = TRUE, discard.orphans = FALSE, discard.first = NULL, save.detections = FALSE, section.warning = 1, section.error = 1, timestep = 'days', replicates = NULL, inactive.error = NULL, GUI = 'never', save.tables.locally = FALSE, print.releases = TRUE, detections.y.axis = 'auto')
-------------------

Index:

Summary Study area Stations Deployments Release sites Array efficiency Warnings Comments Biometrics Last seen Array times Section times Global residency Individual residency Individual detections Full log